GPU EFFECTIVENESS ANALYSIS FOR AUTOMATIC SYNTHESIS OF ROBOT CONTROL SYSTEM

A. . Sergeev, V. . Kleban, A. A. Shalyto


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Abstract

Effectiveness of graphic co-processors (GPU) for the synthesis of automatic control systems (ACS) for a mobile robot is researched. The features of GPU are analyzed in relation to the problem. The parallel implementation of genetic algorithms is chosen as a model task for synthesis efficiency estimation by the example of the ACS synthesis for the “Sumo of Robots” competition.


Keywords: productivity, GPU, genetic algorithm, mobile robot, synthesis of control system, finite state machine, neuron
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